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Install in OpenClaw
/install structured-dev
Description
结构化开发流水线：Research → Plan → Annotate → Implement。 基于 Boris Tane (Cloudflare) 的 Claude Code 工作流，确保 AI 在架构审查通过前不写一行代码。 触发词："结构化开发", "structured dev", "走流水线", "R...
Usage Guidance
This skill appears internally consistent and contains only local file operations and two small helper scripts. Before installing or invoking it: (1) understand the skill will read the entire project tree to produce .dev/research.md and plan.md; (2) it will write files into a .dev/ directory and, if you instruct it to implement, may modify project source — keep backups or use a branch; (3) there's no external network exfiltration or credential requests in the package, but be cautious when granting any agent authority to 'spawn' autonomous coding agents that can commit changes; (4) if you want extra safety, run the skill in a sandboxed clone of your repo or disable autonomous agent execution until you've reviewed plan.md and confirmed tasks manually.
Capability Analysis
Type: OpenClaw Skill
Name: structured-dev
Version: 0.1.0
The 'structured-dev' skill implements a multi-phase development workflow (Research, Plan, Annotate, Implement) designed to improve AI code generation quality. It uses local Python scripts (init_dev.py and progress.py) to manage a .dev/ directory and track task completion via regex parsing of markdown files. The instructions and templates are strictly aligned with the stated purpose of structured software development and do not exhibit any signs of data exfiltration, malicious execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
Name and description describe a structured development workflow. The skill only requests local file I/O (create/read .dev/* and read project files) and provides helper scripts to initialize and parse plan.md — these are coherent with the stated goal.
Instruction Scope
SKILL.md instructs the agent to deeply read project source, create and update .dev/research.md and .dev/plan.md, process in-place annotations, and (with user consent) spawn a coding agent to modify code. Reading/writing repository files is expected for this purpose, but users should note the agent will be instructed to examine the entire project tree and make edits when asked.
Install Mechanism
No install spec; skill is instruction-first and ships two small Python helper scripts. No network downloads, package installs, or archive extraction are present.
Credentials
The skill declares no environment variables, credentials, or config paths. Its runtime instructions access only repository files and .dev/ artifacts, which align with its function.
Persistence & Privilege
always:false (no forced inclusion). The skill relies on persistent files (.dev/plan.md) as shared mutable state — an intended design choice. Agent autonomous invocation is allowed by platform default; this is normal but means the agent could perform multi-step edits if the user approves.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install structured-dev - After installation, invoke the skill by name or use
/structured-dev - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release
Metadata
Frequently Asked Questions
What is Structured Dev?
结构化开发流水线：Research → Plan → Annotate → Implement。 基于 Boris Tane (Cloudflare) 的 Claude Code 工作流，确保 AI 在架构审查通过前不写一行代码。 触发词："结构化开发", "structured dev", "走流水线", "R... It is an AI Agent Skill for Claude Code / OpenClaw, with 270 downloads so far.
How do I install Structured Dev?
Run "/install structured-dev" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Structured Dev free?
Yes, Structured Dev is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Structured Dev support?
Structured Dev is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Structured Dev?
It is built and maintained by shaokunli (@lskun); the current version is v0.1.0.
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